Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMs Can Generate a Better Answer by Aggregating Their Own Responses
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.04104.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T18:56:53.734134Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:09:00.873922Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e8408d79-45df-49ec-be97-46b4bc49f2c8 · inbound
Distribution-Calibrated Inference Time Compute for Thinking LLM-as-a-Judge cites this paper.
Distribution-Calibrated Inference Time Compute for Thinking LLM-as-a-Judge LLMs Can Generate a Better Answer by Aggregating Their Own Responses
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:56:53.734134Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64099d75-2809-4ee2-9c61-0005efbdd6ba · inbound
Understanding Performance Gap Between Parallel and Sequential Sampling in Large Reasoning Models cites this paper.
Understanding Performance Gap Between Parallel and Sequential Sampling in Large Reasoning Models LLMs Can Generate a Better Answer by Aggregating Their Own Responses
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:20:52.517224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3832143a-29df-4e06-a2db-12a9d3fde83c · inbound
On Test-Time Scaling for Vision-Language Models cites this paper.
On Test-Time Scaling for Vision-Language Models LLMs Can Generate a Better Answer by Aggregating Their Own Responses
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T10:04:36.279467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a6b2930f-001c-4bd0-a341-06a9c8f2b1de · inbound
On Test-Time Scaling for Vision-Language Models cites this paper.
On Test-Time Scaling for Vision-Language Models LLMs Can Generate a Better Answer by Aggregating Their Own Responses
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T23:09:00.875235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.